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  5. Dapr vs Hexagon

Dapr vs Hexagon

OverviewComparisonAlternatives

Overview

Dapr
Dapr
Stacks96
Followers336
Votes9
GitHub Stars25.2K
Forks2.0K
Hexagon
Hexagon
Stacks12
Followers12
Votes0

Dapr vs Hexagon: What are the differences?

Introduction

Dapr and Hexagon are two popular technologies used in application development. They have several key differences that set them apart.

  1. Architecture approach: Dapr is a technology that focuses on building applications with a microservices architecture. It provides a runtime and a set of building blocks to simplify the development of distributed applications. On the other hand, Hexagon is an architectural pattern that promotes building hexagonal architectures, also known as ports and adapters, which emphasize clean separation between business logic and external dependencies.

  2. Language support: Dapr is designed to work with multiple programming languages and frameworks, allowing developers to choose the language that best fits their needs. It provides SDKs and language-specific libraries for popular languages like C#, Java, Python, and Node.js. Hexagon, on the other hand, is a pattern that can be implemented in any programming language, making it a language-agnostic approach.

  3. Runtime environment: Dapr runs as a sidecar alongside the application, providing a set of services that can be accessed through APIs. It can be deployed on any infrastructure, including Kubernetes, VMs, and even local development machines. In contrast, Hexagon does not provide a specific runtime environment. It is a pattern that can be implemented within any application and executed within the chosen runtime environment.

  4. Integration capabilities: Dapr provides a wide range of building blocks that simplify integration with external services and systems. It supports features like messaging, state management, service discovery, and event-driven workflows. Hexagon, on the other hand, does not provide specific integration capabilities. It focuses more on architectural principles and guidelines for isolating business logic from external dependencies.

  5. Community and ecosystem: Dapr is backed by a large community and has a growing ecosystem of contributors and third-party libraries. It has gained popularity and support from major cloud providers like Microsoft, AWS, and Google. Hexagon, although less popular and with a smaller community, still has its own community of developers and resources available for learning and implementation.

  6. Level of abstraction: Dapr abstracts away many of the complexities of distributed systems, providing developers with higher-level building blocks and APIs for common tasks. It aims to simplify the development of distributed applications by handling concerns like service discovery, state management, and event-driven communication. Hexagon, on the other hand, focuses more on architectural principles and guidelines, leaving the implementation details and abstractions up to the developer.

In summary, Dapr and Hexagon differ in their approach to application development. Dapr focuses on building microservices with a runtime and building blocks, while Hexagon promotes the hexagonal architecture pattern for clean separation between business logic and external dependencies. Dapr provides language support, integration capabilities, and a larger community, while Hexagon is language-agnostic and focuses more on architectural principles. Both technologies have their own strengths and can be used depending on the specific needs of the project.

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Detailed Comparison

Dapr
Dapr
Hexagon
Hexagon

It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

It is a microservices toolkit written in Kotlin. Its purpose is to ease the building of services (Web applications, APIs or queue consumers) that run inside a cloud platform.

Event-driven Pub-Sub system with pluggable providers and at-least-once semantics; Input and Output bindings with pluggable providers; State management with pluggable data stores; Consistent service-to-service discovery and invocation; Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins; Cross platform Virtual Actors; Rate limiting; Built-in distributed tracing using Open Telemetry; Runs natively on Kubernetes using a dedicated Operator and CRDs; Supports all programming languages via HTTP and gRPC; Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP; Runs anywhere - as a process or containerized; Lightweight (58MB binary, 4MB physical memory); Runs as a sidecar - removes the need for special SDKs or libraries; Dedicated CLI - developer friendly experience with easy debugging; Clients for Java, Dotnet, Go, Javascript and Python
Simple to use; Easy to hack; Kotlin first; HTTP server; HTTP client; Simple data store; Messages publish/subscribe; Templating support
Statistics
GitHub Stars
25.2K
GitHub Stars
-
GitHub Forks
2.0K
GitHub Forks
-
Stacks
96
Stacks
12
Followers
336
Followers
12
Votes
9
Votes
0
Pros & Cons
Pros
  • 3
    Manage inter-service state
  • 2
    MTLS "for free"
  • 2
    Zipkin app tracing "for free"
  • 2
    App dashboard for rapid log overview
Cons
  • 1
    Additional overhead
No community feedback yet
Integrations
.NET Core
.NET Core
Java
Java
Python
Python
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
JavaScript
JavaScript
Google Cloud Platform
Google Cloud Platform
Golang
Golang
Kotlin
Kotlin
Java
Java

What are some alternatives to Dapr, Hexagon?

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

Express Gateway

Express Gateway

A cloud-native microservices gateway completely configurable and extensible through JavaScript/Node.js built for ALL platforms and languages. Enterprise features are FREE thanks to the power of 3K+ ExpressJS battle hardened modules.

ArangoDB Foxx

ArangoDB Foxx

It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.

Zuul

Zuul

It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.

linkerd

linkerd

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

Jersey

Jersey

It is open source, production quality, framework for developing RESTful Web Services in Java that provides support for JAX-RS APIs and serves as a JAX-RS (JSR 311 & JSR 339) Reference Implementation. It provides it’s own API that extend the JAX-RS toolkit with additional features and utilities to further simplify RESTful service and client development.

Ocelot

Ocelot

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

Micro

Micro

Micro is a framework for cloud native development. Micro addresses the key requirements for building cloud native services. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks

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